基于改进对比源反演算法的脑卒中微波检测成像技术研究 |
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引用本文: | 刘珩,王若璇. 基于改进对比源反演算法的脑卒中微波检测成像技术研究[J]. 北京理工大学学报, 2022, 42(10): 1097-1104. DOI: 10.15918/j.tbit1001-0645.2021.306 |
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作者姓名: | 刘珩 王若璇 |
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作者单位: | 北京理工大学 信息与电子学院, 北京 100081 |
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基金项目: | 国家自然科学基金资助项目(61971038) |
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摘 要: | 为解决脑部检测的实时性与准确性问题,进一步提高脑部检测成像的速度与精度,提出一种改进的对比源反演算法——基于快速共轭梯度迭代的对比源反演法(FCG-CSI),用于出血性脑卒中的微波检测成像。利用COMSOL与MATLAB软件搭建脑卒中微波检测仿真系统,对脑部模型进行微波成像。仿真结果表明采用FCG-CSI算法能够有效且快速对脑部血块进行成像,且成像的位置误差仅为0.54 cm。
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关 键 词: | 脑卒中 微波检测技术 对比源反演 医学成像 |
收稿时间: | 2021-11-12 |
Research on Microwave Imaging Technology of Stroke Detection Based on Improved Contrast Source Inversion Algorithm |
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Affiliation: | School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China |
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Abstract: | In order to improve the speed and accuracy of brain imaging, an improved contrast source inversion algorithm based on fast conjugate gradient iteration(FCG-CSI)was proposed for microwave imaging of hemorrhagic stroke. A microwave detection simulation system for cerebral apoplexy was established based on COMSOL and MATLAB software to carry out microwave imaging on the brain model. The simulation results show that FCG-CSI algorithm can effectively image blood clots in the brain, and the location error of imaging is only 0.54 cm. |
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